Track prompts, responses, and model behavior across your LLM-powered applications.
Capture every interaction with your LLM systems.
Log user prompts, system messages, and model responses.
Track metadata like model, temperature, tokens, and latency.
Store structured and unstructured LLM data.
Understand how well your AI performs.
Review responses for relevance, accuracy, and tone.
Flag low-quality or failed generations.
Compare outputs across prompts and versions.
Control LLM spend and usage.
Track token usage per user, feature, or model.
Monitor latency and cost trends.
Identify inefficient prompts and workflows.
Improve prompts with real data.
Compare prompt versions and system instructions.
Run A/B tests on responses and workflows.
Measure impact of changes on quality and usage.
Build trustworthy AI systems.
Audit prompt and response history.
Control access to sensitive AI data.
Support security and compliance requirements.